Amazon has 1472 active AI-related job listings. The company is heavily focused on roles within the "agents" stage, which accounts for 38% of its AI hiring, followed by "application" at 26%. Engineering is the dominant function, with 1172 positions. Over the last 30 days, Amazon has added 667 new AI roles, representing a 74% increase compared to the previous 30-day period. Frequent tech tags include agent_orchestration, model_serving, and multimodal.
Currently tracking 1109 active AI roles, with 1262 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $194k).
Amazon currently has 1575 active AI-related roles in our index. The most common open titles are: ML Data Associate-II (9), 2026 Applied Scientist Intern, Amazon University Talent Acquisition (8), AI Data Associate (Dutch) , Artificial General Intelligence Data Services (8), Senior Delivery Consultant - Data , Professional Services, AWSI HCLS (8), Software Development Engineer, AWS (8). Most positions are in Engineering and Research.
Amazon's active AI hiring is concentrated in: agents (41%), application (26%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Amazon is hiring AI talent in: United States (1022 roles), Canada (59 roles), United Kingdom (49 roles), India (23 roles).
Job postings at Amazon most frequently mention: Machine Learning, Generative AI, Large Language Models (LLMs), Software Engineering, Agentic Systems.
In the past 30 days, Amazon has posted 683 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Solutions Architect , ISV Senior Solutions Architect for AWS ISV team, focusing on helping top software companies accelerate their global innovation journey by leveraging AWS Cloud capabilities, particularly in Data, Analytics, and Generative AI. The role involves owning the technical relationship with customers, providing strategic guidance, designing cloud-native reference architectures, and driving adoption of AWS services. | — | 5 |
| Sr. Specialist Solutions Architect, High Performance Computing and Machine Learning, AWS This role is for a Senior Specialist Solutions Architect at AWS, focusing on High Performance Computing (HPC) and Machine Learning (ML). The primary responsibility is to work with customers to design and architect cloud-based solutions leveraging AWS services, particularly for complex HPC workloads including physics-informed machine learning, CAE, Weather, and accelerated computing with GPUs. The role involves thought leadership, customer engagement, and capturing best practices within the AWS solutions architect community. While the role interacts with AI/ML concepts and customers using them, it is not directly building or shipping AI models, but rather architecting the infrastructure and solutions around them. |
| — |
| 5 |
| Sr. Solution Architect, Gen AI, Startups This role is for a Sr. Solution Architect focused on Generative AI for startups within AWS. The primary responsibility is to guide early-stage startup companies in deploying scalable and secure cloud architectures, acting as a trusted advisor. While the role involves working with AI technologies and advising customers on their use, the core function is not building or shipping AI models but rather enabling startups to leverage AWS services for their AI initiatives. The role also includes advocating for product needs and creating technical content. | — | 5 |
| Software Development Engineer, Sponsored Products and Brands Software Development Engineer role focused on building and owning Tier 1 services for Amazon Ads' Sponsored Products and Brands. The role involves designing, developing, and maintaining highly available, scalable systems that determine ad eligibility and serve ads to millions of customers. It leverages generative AI technologies and involves working with numerous machine learning models within a low-latency, high-scale ad serving workflow. | Serve | 5 |
| Solutions Architect, Solutions Architecture Solutions Architect for AWS Global Sales, focusing on enterprise customers. This role involves understanding customer business drivers, designing cloud-native architectures, and accelerating AWS adoption. The Solutions Architect needs broad technical competence across various domains including AI/ML and Generative AI, with deep expertise in 2-3 areas, and the ability to connect technology to business value. | — | 5 |
| Technical Program Manager, Legal Operations This role is for a Senior Technical Program Manager in Amazon Legal Operations, focusing on driving technology initiatives and strategy for legal operations infrastructure. The role involves leading end-to-end lifecycle management of cross-functional technology programs, with a primary focus on Outside Counsel Management. It emphasizes the adoption of generative AI, machine learning, and automation to streamline workflows and improve legal service delivery. The TPM will oversee various legal tech platforms and drive integrations across Amazon's ecosystems, identifying opportunities to leverage AI and NLP. While the role champions AI adoption and works with AI-powered tools, it is not a hands-on AI/ML development or research role, but rather a product/program management role focused on integrating and scaling AI solutions within a legal operations context. | — | 5 |
| Software Engineer, EC2 Nitro Software Engineer role focused on the EC2 Nitro System's software-defined networking (SDN) dataplane stack, optimizing performance and availability for various applications including Machine Learning. Requires experience in Dataplane development, System Software/Embedded software, Cloud Computing, and Networking. | — | 5 |
| Software Development Engineer, AWS Central SDE Team Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development. | Serve | 5 |
| Senior System Architect, Hardware Architecture Senior System Architect role at Amazon Devices, focusing on defining system architecture for consumer electronics products like Echo and FireTV. Responsibilities include interpreting product requirements, making key design decisions (SoC, compute architecture), tracking market trends, defining roadmaps, and working with silicon vendors. The role requires a hands-on engineer with breadth and depth in areas like computer architecture, SoC design, or applied machine learning, and involves leading cross-functional teams throughout the product development lifecycle. Basic qualifications include a Bachelor's degree in CS/CE/EE and 10+ years of experience or a PhD, with a background in SoC/Silicon engineering, computer architecture, ML, or embedded software. Preferred qualifications include a Master's/PhD, strong understanding of heterogeneous SoC architectures, and expertise in specific technical areas. | — | 5 |
| Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Hardware Engineering Services This role focuses on the hardware engineering for AWS cloud servers specifically designed for AI training and inference. The engineer will be responsible for the design, development, testing, and operation of these accelerated servers, working with interdisciplinary teams and manufacturing partners to deliver scalable solutions for AI/ML and HPC workloads. While the servers support AI, the role itself is in hardware engineering, not directly building AI models or agents. | — | 5 |
| Sr. Solutions Architect, UAE CS ENT Senior Solutions Architect role focused on helping enterprise customers in the UAE adopt and build with generative AI and machine learning. The role involves understanding customer business objectives, designing cloud solutions, building prototypes and proofs of concept, and guiding teams from experimentation to production. It requires deep expertise in cloud infrastructure, modern application development, data analytics, and generative AI/ML. | Agent | 5 |
| Senior Solutions Architect, AGS NOLA SA Caribe Senior Solutions Architect role focused on helping enterprise customers with their cloud journey, including migration, modernization, and exploring the application of GenAI and Agentic AI to drive business outcomes. The role involves designing, building, and implementing solutions, turning ideas into working prototypes and production-ready architectures. | — | 5 |
| Senior AI Sales Specialist Senior AI Sales Specialist role at Amazon Web Services (AWS) focused on driving revenue growth by partnering with customers to understand their goals, translate complex AI capabilities into business value, and support AI adoption at scale. The role involves building sales pipelines, advising on AWS AI services, leading technical discovery sessions, and guiding customers through AI adoption journeys. | — | 5 |
| Technical Business Developer Intern, 2026 Hong Kong This is an internship role focused on technical business development for AWS cloud computing, involving customer engagement, identifying growth opportunities, and supporting sales teams. While it mentions AI/ML and Generative AI, the core function is business development and sales support, not direct AI/ML model development or research. | — | 5 |
| Senior UX Design Technologist This role focuses on integrating AI-assisted design tools and agentic workflows into Amazon Business's design system (Ink). The Senior UX Design Technologist will lead the re-architecture of Figma libraries to be AI-ready, ensure design assets are compatible with AI tooling, and act as a bridge between design, engineering, and AI platform teams. The goal is to transform AI-assisted design from experiments into a scalable, system-integrated workflow, evaluating and operationalizing AI tools while accelerating adoption without compromising quality. | Agent | 5 |
| Support Engineer Manager II, Measurements & Data Science This role is for a Support Engineering Manager at Amazon, focusing on leading a team that ensures the operational health and seamless functioning of global advertising billing applications. The manager will oversee incident resolution, drive strategic improvements, manage systems with strict SLAs, and foster innovation, including the adoption of Generative AI and automation to enhance support processes and system resilience. The role requires strong leadership, technical expertise in distributed systems and AWS, and collaboration with development and product teams. | — | 5 |
| Senior Customer Solutions Manager , Strategic Accounts This role is for a Senior Customer Solutions Manager at Amazon Web Services (AWS) who will guide technically advanced initiatives across Amazon, partnering with business units and global AI/ML initiatives. The role involves applying technical expertise and program leadership to work with engineers and business leaders on large-scale challenges, ensuring effective collaboration and customer outcomes. The individual will innovate on projects like generative AI enablement, lead cloud migrations, and partner with internal teams. They will interface with leadership, drive collaboration between various teams, and translate strategic initiatives into executable actions. The role requires a strong technical background, curiosity about cloud and AI, problem-solving abilities, and excellent communication skills. | — | 5 |
| Merchandise Planner, Zappos Merchandise Planner role at Zappos focused on driving business success through data-driven insights, assortment optimization, and category/brand planning. The role involves maximizing sales, profitability, and inventory efficiency by developing assortment plans, forecasts, and strategies. Collaboration with Buying, Marketing, and Finance is key. The candidate should have a deep understanding of e-commerce, trend analysis, and the ability to translate creative ideas into actionable insights. Responsibilities include financial planning, inventory management, forecasting, and optimizing sales/inventory productivity. The role also involves brainstorming improvements to planning systems and participating in A/B testing of new tools, including generative AI tools. | — | 5 |
| Senior Solutions Architect, Media & Entertainment, AWS Plus Team Senior Solutions Architect for AWS Plus team supporting Prime Video, Prime Video Sports, and Amazon MGM Studios. The role involves advising on cloud strategy, architecting media and entertainment workloads, and guiding AI adoption using services like SageMaker and Bedrock for model hosting and GPU optimization for inference and training. The focus is on production-scale AI workloads within the media and entertainment domain. | ServePost-train | 5 |
| Sr. Solutions Architect, AWS Industries India This role is for a Senior Solutions Architect at AWS, focusing on helping enterprise customers in India with their digital transformation journeys using AWS services. The role involves designing cloud architectures, leading technical discussions, and understanding customer business challenges. While the role touches upon various AWS services including machine learning and analytics, its core function is not to build or ship AI/ML models but to architect solutions that leverage these services for business outcomes. | — | 5 |
| Software Development Engineer II, EFA Network - Annapurna Labs Software Development Engineer II role focused on the user-space software for Elastic Fabric Adapter (EFA) network cards, crucial for Machine Learning (ML) and High-Performance Computing (HPC) customers on AWS. The role involves writing high-performance C code for open-source projects, inventing new networking APIs, optimizing for low latency and high bandwidth, and supporting major AI companies. The team is part of Annapurna Labs and focuses on enabling next-generation ML in the cloud. | — | 5 |
| Network Development Manager III, Opstech IT Networking Access Technologies This role manages a team responsible for the deployment automation of Wireless and Access networks within Amazon's Operations Technology. The focus is on transforming innovative network designs into production-ready implementations that support a wide range of technologies including robotics, industrial IoT, sensors, drones, and mobile devices. The role involves setting technical vision, driving operational excellence through automation, partnering with internal and external teams for innovation, and establishing engineering metrics for service health and performance. While AI and ML are mentioned as tools to enhance network automation and operations, the core function is network engineering and management, not direct AI/ML model development. | — | 5 |
| Lead Software Development Engineer, Playback Team Lead Software Development Engineer for Audible's Playback team, focusing on core playback logic, services, and audio ad systems. The role involves designing, architecting, and implementing machine learning solutions for audio advertising at scale, optimizing ad serving, and integrating conversational AI. Requires strong software development, system design, and leadership skills. | Agent | 5 |
| Associate Support Engineer, Region Services Associate Support Engineer role focused on technical support for AWS Region Services, involving troubleshooting, interacting with engineers, leveraging Linux experience, driving service team communication, and improving support processes. The role also involves writing technical articles, coaching new hires, and using internal AI systems for problem-solving. | — | 5 |
| Support Engineer, Region Services Support Engineer role focused on troubleshooting and resolving technical issues within AWS Region Services, leveraging Linux and distributed systems expertise. The role involves interacting with engineers, providing feedback on services, driving process improvements, and using internal AI systems for problem-solving. Requires experience with Linux, scripting, and distributed systems, with a preference for cloud computing and networking knowledge. A government security clearance is mandatory. | — | 5 |
| Senior Product Manager - Tech, AWS Payments and Fraud Prevention Senior Product Manager for AWS Payments and Fraud Prevention team, focusing on developing innovative payment solutions, reducing financial losses, and managing past-due balances for AWS customers. The role involves defining strategy, roadmap, influencing cross-functional teams, and driving product delivery in a complex, regulated financial domain. | — | 5 |
| Sr. Manager of Colocation, Machine Learning, Data Center Supply Solutions This role manages a team responsible for developing and scaling AWS' Machine Learning infrastructure through strategic colocation partnerships. It involves managing the lifecycle of ML-focused colocation deals, ensuring operational excellence, contractual compliance, and infrastructure reliability for ML workloads. The role collaborates with various internal teams and external partners to optimize colocation strategies supporting AWS' ML service scaling. | — | 5 |
| Senior National Account Manager, Ring & Blink This role is for a Senior National Account Manager at Amazon's Ring and Blink division, focusing on driving retail growth through strategic account management and leveraging AI/ML tools for sales analysis, trend prediction, and inventory optimization. The role involves cross-functional collaboration with retailers and internal teams, developing promotional and marketing strategies, and driving the adoption of AI-enabled analytics for product placement and pricing. | — | 5 |
| Risk Mining Analyst II, Account Integrity This role focuses on analyzing data, detecting anomalies, and preventing fraudulent activity on Amazon's platform by deploying rules and leveraging machine learning systems. It involves working with large datasets, identifying patterns, and collaborating with product managers, scientists, and engineers to maintain customer trust and prevent bad actors. | — | 5 |
| Senior Data Associate with Dutch, Artificial General Intelligence Data Services The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, and video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to improve labeling quality. The role requires strong analytical thinking, problem-solving, and attention to detail, with fluency in Dutch and English. | Data | 5 |
| Senior Enterprise Account Manager, AI Models, HiTech This role is for a Senior Enterprise Account Manager focused on AI Models and Foundation Model Providers on AWS. The primary responsibilities include managing strategic relationships, driving revenue and adoption, and acting as a trusted advisor to AI companies. The role requires a blend of sales and technical expertise to engage with C-level executives and AI developers. | — | 5 |
| Senior Sales Specialist, GenAI/ML, Enterprise Senior Sales Specialist for GenAI/ML on AWS, focusing on driving customer adoption and revenue growth for AWS Generative AI services within a specific territory. This role involves identifying customer opportunities, understanding their needs, positioning AWS solutions, and acting as a trusted advisor to embed and deploy GenAI services. Responsibilities include developing GTM strategies, engaging with C-suite leaders, creating value propositions, and gathering customer insights to inform product roadmaps. | — | 5 |
| Sr. Worldwide Specialist – GenAI/ML, Accelerate Compute, Data & AI GTM This role focuses on defining and executing Go-to-Market (GTM) strategies for Generative AI (GenAI) solutions on AWS. The specialist will engage with customers, product owners, and GenAI model providers to influence product direction, develop proofs-of-concept, and drive the adoption of GenAI services. The role requires a blend of business and technical expertise to articulate the value of GenAI solutions and market trends to diverse audiences, including C-level executives. | — | 5 |
| Sr. BIE, Amazon Global Selling -AIT This role focuses on designing, developing, and maintaining data infrastructure and ETL pipelines to support business intelligence initiatives, with a specific emphasis on implementing AI/LLM-powered solutions for task automation and statistical analysis for business decision-making. The role involves collaborating with cross-functional teams to build AI-ready foundational capabilities within the Global Selling organization. | Data | 5 |
| Sr Risk Manager, Lending, ABPL This role is for a Sr. Risk Manager in Amazon's lending portfolio, focusing on adverse risk actions and building a credit program. It involves strategic planning, cross-functional leadership, data-driven innovation, and leveraging AI/ML tools, specifically an AI Agent, to automate tasks and improve decision-making. The role requires partnering with Science teams to design features and build automated credit decisioning systems, acting as a power user for AI-enabled tools. | Agent | 5 |
| Sr. Software Engineer, EFA Network ML Software Team - Annapurna Labs This role is for a Sr. Software Engineer on the EFA Network ML Software Team at Amazon. The team owns the user-space software for the Elastic Fabric Adapter (EFA) network card, enabling customers to network thousands of GPU and CPU instances for ML and HPC workloads. The engineer will write high-performance C code for open-source projects, invent new networking APIs, and provide expert support to AI customers. The role involves leading design and architecture, focusing on performance, low latency, and high bandwidth in clustered environments. | — | 5 |
| Quality Auditor (中国語 契約社員), AGI Data Services The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems. | — | 5 |
| Quality Auditor (中国語 契約社員), AGI Data Services The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems. | — | 5 |
| Director, Sales Operations, Japan, Global Sales Operations Director of Sales Operations for AWS Japan, focusing on driving long-term business growth through data analysis, forecasting, and optimizing business processes. The role involves supporting Generative AI initiatives to unlock data-driven insights and customer innovation, but the core function is sales operations and strategy, not direct AI/ML model development. | — | 5 |
| Senior Financial Analyst, AWS Competitive Intelligence & Sales Analytics Senior Financial Analyst role focused on competitive intelligence and sales analytics for AWS. The role involves building financial models, analyzing public company disclosures, and supporting sales pipeline analysis. A key aspect is leveraging Generative AI as a daily production tool to build and maintain scalable mechanisms for executive-quality outputs, including co-producing a GenAI-powered intelligence newsletter. | — | 5 |
| Sr. TPM, AWS Builder Acceleration This role is for a Sr. TPM at Amazon, AWS Builder Acceleration (AWSBA) team, focused on simplifying and accelerating the software development experience for AWS engineers using GenAI and advanced AWS technologies. The goal is to reduce toil, increase building efficiency, and eliminate friction in the software development and operational lifecycle through AI-based automated solutions. | Agent | 5 |
| Neuron Runtime Software Development Engineer , Neuron Runtime Software Development Engineer responsible for developing and maintaining high-performance runtime libraries and drivers for AWS ML accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Runtime, optimizing AI workloads, improving ML kernels and frameworks, and supporting multiple ML frameworks. Requires experience in distributed systems, AWS services, and end-to-end service ownership. | Serve | 5 |
| Scaled Abuse Specialist, Special Projects & Investigations This role focuses on using advanced data analysis, including Machine Learning and AI tools, to identify and prevent fraud and abuse across Amazon's e-commerce platforms. The specialist will manage critical projects, scale findings through technology and analytics, and develop systematic solutions to endemic problems. A key responsibility includes utilizing agentic AI systems to automate workflows and accelerate investigations. | Agent | 5 |
| Principal Product Mgr-Tech, Creators Product Manager role focused on creator partnerships and monetization on Amazon, with an emphasis on leveraging generative AI tools for workflow efficiency and product enhancement. | — | 5 |
| Senior Applied Scientist, Annapurna ML Senior Applied Scientist to work on AI and program analysis for a deep learning compiler stack, optimizing models for ML accelerators (Inferentia, Trainium). Role involves designing, developing, and deploying analyzers for ML compiler stages, architecting business-critical tooling, publishing research, and mentoring. Focus is on compiler technology and deep-learning systems software, with a preference for ML/AI accelerator background. | Serve | 5 |
| Senior Product Manager – Technical, Amazon Music Mobile Architecture & Innovation Velocity, Amazon Music - CX Infrastructure Senior Product Manager, Technical for Amazon Music CX Infrastructure, focusing on Playback, Mobile Architecture, and Innovation Velocity. This role involves leveraging Generative AI to enhance developer velocity and build AI-powered tools for processing customer feedback and driving improvements through the development cycle. The goal is to define the next generation of software development at Amazon Music where AI acts as a force multiplier. | Ship | 5 |
| Software Development Engineer II, Personalization Software Development Engineer II role focused on building and improving personalization and recommendation features for Amazon's consumer platform, leveraging machine learning and big data technologies. | Ship | 5 |
| Sr. Software Dev. Engineer, Sponsored Products and Brands Senior Software Development Engineer role focused on designing and developing highly scalable distributed systems for Amazon's Sponsored Products and Brands advertising platform. The role involves integrating Generative AI solutions, collaborating with data scientists on machine learning experiments, and implementing end-to-end solutions to improve predictive models and infrastructure within the e-commerce advertising domain. | Ship | 5 |
| Software Development Engineer II, DynamoDB Software Development Engineer II on the DynamoDB Capacity and Customer Entitlement team, responsible for designing and building production systems that optimize capacity planning and fleet scaling for DynamoDB's infrastructure. This role involves developing automated scaling algorithms, capacity management tools, and operational workflows, including building ML-integrated prediction systems for demand forecasting and capacity allocation. | Serve | 5 |
| Program Manager, Central Operations Program Manager to drive improvement in processes and technology used within the operational team for Amazon Logistics (AMZL). This role will work alongside AI and GenAI tools to accelerate decision-making and focus on work that matters. | — | 5 |